Adopt modern technologies like AI, facial recognition: Delhi L-G to Police

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New Delhi [India], Nov 30 : Lieutenant Governor of Delhi Anil Baijal on Thursday reviewed the ‘Use of Technology in Policing’ meeting and advised Delhi Police officials to adopt technologies like artificial intelligence, facial recognition and Intelligent Traffic Management System to modernise operations.
The Lieutenant Governor stressed that technology-based policing should be the main cornerstone for police modernisation. Latest technologies like artificial intelligence, facial recognition, Intelligent Traffic Management System are the need of the hour to modernise policing.
Directing the Delhi Police to improve its human resource capabilities to use technology more effectively and efficiently for the welfare of the public, Baijal added that personnel at all levels need to be familiarised with the technological changes.
The meeting was also attended by Delhi Chief Secretary,and Delhi Commissioner of Police among others, read a statement.
The Delhi Police made a detailed presentation on its various technology projects for prevention, detection and investigation of crimes such as e-beat book, body-worn cameras, Open Source Intelligence Solution (OSINT), Intelligence Management Traffic System, Automatic Number Plate Reading Project (ANPR), Facial Recognition and Advanced Forensics, etc.
Baijal directed the Delhi Police to review the progress made on all the projects on a quarterly basis.
In the meeting, Baijal was informed that Mobile Cyber Forensic Labs with trained staff and necessary infrastructure would be functional soon with different features like malware forensics, network forensics, cloud forensics, cryptocurrency analytics, cyber range. Further, it was also informed that various applications of Delhi Policewould be brought on a single platform of ‘One Touch APP’ by December 2018. It was also informed that installations of 10,000 CCTV cameras are in advance stage under the Safe City Project (Nirbhaya Fund).
The Delhi Police also mentioned the multifunctional role of the Facial Recognition technology which will help in many ways like tracing the missing children, remote suspect verification, security suspect identification and locating and tracking of a fugitive.
Baijal was also apprised of advanced forensics such as malware forensics, cryptocurrency analytics, cloud forensic and advanced mobile forensics. It was also divulged that 800 numbers of body-worn cameras have been procured and are being operationalised.